@inproceedings{9dab3e765e0e4cbdb4eda47b7ac85813,
title = "A multitarget passive recognition and location method fusing SVM and BSS",
abstract = "A multitarget passive recognition and location method which fuses SVM and blind signal processing technique is proposed in this paper. Its characters are: Sampling data via multitarget information receiving array at first; And then getting separated signal and matrix by blind signal separation (BSS) to these data; Completing classification of each separated signal by using decision tree support vector machine (SVM) multitarget recognition process to the separated signal; Obtaining direction information of each signal by blind deconvolution location algorithm based on array model to the separated matrix at the same time; Finally, realizing target recognition and location by synthesizing targets information of the classification and direction. This paper studies technique principle of this method, gives a detailed implement step and proves its validity by multitarget recognition and location experiment of measured ship-radiated noise.",
keywords = "Blind signal, Location, Multitarget, Recognition, SVM",
author = "Jun Bai and Haiyan Wang and Xiaohong Shen and Zhao Chen",
year = "2011",
doi = "10.1007/978-3-642-21747-0\_10",
language = "英语",
isbn = "9783642217463",
series = "Lecture Notes in Electrical Engineering",
number = "VOL. 3",
pages = "73--81",
booktitle = "Electrical Power Systems and Computers - Selected Papers from the 2011 International Conference on Electric and Electronics, EEIC 2011",
edition = "VOL. 3",
note = "2011 International Conference on Electric and Electronics, EEIC 2011 ; Conference date: 20-06-2011 Through 22-06-2011",
}